Person regression models

  • Wim Van den Noortgate
  • Insu Paek
Part of the Statistics for Social Science and Public Policy book series (SSBS)


In this chapter, we focus on the person side of the logistic mixed model. As described in Chapter 2, the simple Rasch model can be extended by including person characteristics as predictors. The resulting models can be called latent regression models, since the latent person abilities (the θs) are regressed on person characteristics. A special kind of a person characteristic is a person group: for instance, pupils can be grouped in schools. Then there are two possibilities for modeling, either we can define random school effects, or we can utilize school indicators with fixed effects.


Item Difficulty Item Parameter Measurement Occasion Trait Anger Latent Regression 
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© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Wim Van den Noortgate
  • Insu Paek

There are no affiliations available

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